2009
DOI: 10.1109/tbme.2009.2018457
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In Vivo Electrical Impedance Spectroscopy of Tissue Reaction to Microelectrode Arrays

Abstract: The goal of this experiment was to determine the electrical properties of the tissue reaction to implanted microelectrode arrays. We describe a new method of analyzing electrical impedance spectroscopy data to determine the complex impedance of the tissue reaction as a function of postimplantation time. A model is used to extract electrical model parameters of the electrode-tissue interface, and is used to isolate the impedance of the tissue immediately surrounding the microelectrode. The microelectrode arrays… Show more

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Cited by 118 publications
(132 citation statements)
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“…In addition, the high input impedance of the NWFETs circumvents the common challenge confronted by implanted microelectrodes, where post-implant increases of impedance due to, for example, absorption of proteins, leads to degraded signal quality and higher noise level (38). This makes NWFETs very promising for high signal yield, chronic in vivo recordings, especially considering the facts that (i) small device feature size allows multiplexed detectors being integrated onto ultrasmall probes for minimum damage to the tissue, (ii) bottom-up fabrication makes it possible to choose biocompatible materials as substrates to reduce mechanical mismatch and to minimize reactive tissue response (25,26), and (iii) the nanoscale morphology could promote better attachment of active neurons, leading to better signal quality than planar designs.…”
Section: Resultsmentioning
confidence: 99%
“…In addition, the high input impedance of the NWFETs circumvents the common challenge confronted by implanted microelectrodes, where post-implant increases of impedance due to, for example, absorption of proteins, leads to degraded signal quality and higher noise level (38). This makes NWFETs very promising for high signal yield, chronic in vivo recordings, especially considering the facts that (i) small device feature size allows multiplexed detectors being integrated onto ultrasmall probes for minimum damage to the tissue, (ii) bottom-up fabrication makes it possible to choose biocompatible materials as substrates to reduce mechanical mismatch and to minimize reactive tissue response (25,26), and (iii) the nanoscale morphology could promote better attachment of active neurons, leading to better signal quality than planar designs.…”
Section: Resultsmentioning
confidence: 99%
“…The system that we developed allows automatic and easy measurement of EIS over long periods of time. Examination of detailed temporal changes in EIS characteristics of the stimulation electrode allows evaluation of the response of the tissue around the electrode array and the stimulation electrode stability [6]. Some reports have described variation in impedance following Fig.…”
Section: Discussionmentioning
confidence: 99%
“…In some applications, there are only capacitive path signal between the electrode-sample, so R ct resistance can be rejected. At some others, the model must be matched to the biological sampled being measure, as for example, measuring impedance of tissues [23], cell cultures [29], or cell density in suspension 3D [27], due to particular relationship observed between the electrodes and the bio-samples. In the electrode biosample modelling field, alternative setups and methodologies for LoC system are currently being explored [3].…”
Section: Bio-electrode Electrical Modelmentioning
confidence: 99%
“…The in-situ signal acquisition allows the better rejection of noise signal and CMRR reduction effects from electrode and other element mismatching [43]. Models for cortex cranial tissue are being developed to establish the tissue reaction to post-implantation EEG sensors [23], and also for electrical stimulation devices focused on neural activity rehabilitation. Glucose concentration in blood [36], body hydration etc., together with some industrial application focused in food test, like bacterial detection using inter-digit sensor presented in Ref.…”
Section: Applicationsmentioning
confidence: 99%